Google adds Swahili and Somali to AI search tools

Google has confirmed a significant update to its Artificial Intelligence search ecosystem, introducing support for 13 additional African languages. The rollout includes Swahili and Somali, two of the most widely spoken languages in East Africa and the Horn of Africa, which are central to the region’s commercial and infrastructure communication.

The move is part of a broader effort to make AI-powered search more inclusive and accessible to users who previously faced linguistic barriers when interacting with advanced digital tools. By integrating these languages, Google aims to provide more relevant and culturally nuanced search results for millions of users across the continent.

For the construction and engineering sectors in Kenya and the surrounding region, this development holds practical implications for information gathering and site-level communication. Swahili is the primary language of instruction and coordination on many Kenyan building sites, and its inclusion in AI search models allows for more efficient troubleshooting, safety protocol verification, and technical research in the local vernacular.

Industry professionals often rely on mobile-based search to verify specifications or local regulations. The ability to query AI-driven platforms in Swahili or Somali ensures that technical workers, who may be more comfortable communicating in these languages, can access real-time data without the friction of translation.

The expansion follows Google's ongoing investment in African digital infrastructure. This includes the Equiano subsea cable, which has significantly increased internet capacity and reduced costs in several African markets. By layering linguistic support on top of this physical infrastructure, the company is bridging the gap between hardware connectivity and software utility.

Beyond Swahili and Somali, the update covers a range of other major languages spoken across West and Southern Africa. This linguistic breadth is designed to cater to the diverse needs of the continent’s growing digital population, which is increasingly mobile-first

Technologically, the integration involves complex natural language processing models that must account for local dialects and variations in usage. Google has been working with local linguists and data sets to ensure that the AI understands context, rather than just performing literal word-for-word translations.

This update comes at a time when AI is being increasingly scrutinized for its ability to serve non-Western markets. By prioritizing African languages, Google is positioning its AI Search Generative Experience as a tool for local problem-solving, rather than a generic global product.

The localized AI search tools are expected to be rolled out across mobile and desktop platforms immediately. Users in Kenya and Somalia will now see prompts to utilize these new language features when performing complex queries that require synthesized, AI-generated answers.

As digital literacy continues to grow alongside physical infrastructure developments, the availability of these tools in native languages is expected to accelerate the adoption of technology in traditional industries. For the construction sector, this means a more informed workforce and a narrower divide between technical documentation and on-site implementation.